Cognitive Impact

Targeted, Primary Prevention of Sepsis with the Cognitive Clinical Success Machine

Sepsis, a body’s overactive, toxic response to an infection, is one of the most expensive and deadly syndromes. But detecting sepsis is difficult in large part because many of its signs and symptoms can be mistaken for other conditions. This challenge is compounded by the need to detect and treat sepsis as early as possible to avoid escalation and possible death.

Using the Cognitive Clinical Success Machine, we are changing the way we identify and prevent sepsis to shift it from one of secondary care to primary prevention. Here is how.

According to the Centers for Disease Control and Prevention (CDC), more than 90% of adults and 70% of children who developed sepsis had a health condition that put them at risk. More than 40% of these cases were developed within the community setting. And within that group, certain types of diseases and infections led to sepsis more often including infections of the lungs, urinary tract, skin, and gut.
In a recent study published in the Morbidity and Mortality Weekly Report, more than 70% of patients who had a sepsis admission had a health event within the past 30 days stemming from a chronic condition that likely required frequent medical attention. While most sepsis initiatives focus on early detection and education, these occurrences could have been prevented through targeted strategies including vaccinations and disease management. But effective prevention requires the ability to determine who is at risk of developing sepsis within the ambulatory setting and before any signs are present. This is exactly where the Cognitive Clinical Success Machine is helping providers to do.
By determining who within the community is at risk of sepsis and the clinical actions that will reduce that risk, providers are using the Cognitive Clinical Success Machine to align programs such as pneumonia vaccinations to sepsis reduction initiatives. This capability is enabled by the machine’s Eigenspace platform that more effectively identifies the individuals who are on track to sepsis and the best actions that will result in a better health outcome for a patient. This is the only solution and approach able to provide a path to primary sepsis prevention for community-based sepsis events. And it is the only machine with the breadth and flexibility to help patients across settings and populations.


  • [1] Sepsis Alliance, "Definition of Sepsis," Sepsis Alliance, 1 1 2017. [Online]. Available: [Accessed 18 09 2017].
  • [2] Centers for Disease Control and Prevention, "Making Health Care Safer Think sepsis. Time matters.," Centers for Disease Control and Infection: National Center for Emerging and Zoonotic Infectious Diseases, Atlanta, 2016.
  • [3] M. Shannon A. Novosad, P. Mathew R.P. Sapiano, D. Cheri Grigg, M. Jason Lake, D. Misha Robyn, M. Ghinwa Dumyati, M. Christina Felsen, M. Debra Blog, M. Elizabeth Dufort, P. Shelley Zansky, M. Kathryn Wiedeman, M. Lacey Avery, M. Raymund B. Dantes, M. John A. Jernigan, M. Shelley S. Magill, M. Anthony Fiore and M. Lauren Epstein, "Vital Signs: Epidemiology of Sepsis: Prevalence of Health Care Factors and Opportunities for Prevention," Morbidity and Mortality Weekly Report, vol. 65, no. 33, pp. 864-869, 23 August 2016.
Jvion's Thinking Machine

We created a machine that thinks like a clinician. Here is how we did it.

Immerse Yourself in Cognitive Science

Take just 2.5 minutes to dive into the world of cognitive science.

Cognitive Machine in Action

See firsthand how a cognitive machine can help your patients and your organization.